Simply put your data inside the backslash like this: “\”” + yourdata + “\””. Take a look on the example below: StringWriter csv = new StringWriter(); // Generate header of the CSV file csv.WriteLine(string.Format(“{0},{1}”, “Header 1”, “Header 2”)); // Generate content of the CSV file foreach (var item in YourListData) { csv.WriteLine(string.Format(“{0},{1}”, item.Data1, “\”” + … Read more
gvee’s helpful answer is a pragmatic solution that ensures that the columns appear in the desired order, because the order in which you pass property names to Select-Object is the order in which the properties are added to the resulting [pscustomobject] instances. It is, however, inefficient, because the desired column order can be ensured at … Read more
What you’re currently doing is printing out the python string representation of a tuple, i.e. the return value of str(row). That includes the quotes and ‘u’s and parentheses and so on. Instead, you want the data formatted properly for a CSV file. Well, try the csv module. It knows how to format things for CSV … Read more
You have unicode values in your DataFrame. Files store bytes, which means all unicode have to be encoded into bytes before they can be stored in a file. You have to specify an encoding, such as utf-8. For example, df.to_csv(‘path’, header=True, index=False, encoding=’utf-8′) If you don’t specify an encoding, then the encoding used by df.to_csv … Read more
Try the following: import glob import pandas as pd # Give the filename you wish to save the file to filename=”Your_filename.csv” # Use this function to search for any files which match your filename files_present = glob.glob(filename) # if no matching files, write to csv, if there are matching files, print statement if not files_present: … Read more
Solution: header = True for chunk in chunks: chunk.to_csv(os.path.join(folder, new_folder, “new_file_” + filename), header=header, cols=[[‘TIME’,’STUFF’]], mode=”a”) header = False Notes: The mode=”a” tells pandas to append. We only write a column header on the first chunk.
You can’t (not with the free version of GA in any case). You can export aggregated reports (with up to 50 000 rows for standard reports or 200 000 rows for ad-hoc (not pre-calculated) reports via the API either by scripting yourself or using a tool like Next Analytics (the only programm from the Application … Read more
df.to_csv accepts a file object. So you can open a file in a mode, write you comments and pass it to the dataframe to_csv function. For example: In [36]: df = pd.DataFrame({‘a’:[1,2,3], ‘b’:[1,2,3]}) In [37]: f = open(‘foo’, ‘a’) In [38]: f.write(‘# My awesome comment\n’) In [39]: f.write(‘# Here is another one\n’) In [40]: df.to_csv(f) … Read more
I implemented excel export using these two libraries: file-server and xlsx. You can add it to your existing project with: npm install file-saver –save npm install xlsx –save ExcelService example: import { Injectable } from ‘@angular/core’; import * as FileSaver from ‘file-saver’; import * as XLSX from ‘xlsx’; const EXCEL_TYPE = ‘application/vnd.openxmlformats-officedocument.spreadsheetml.sheet;charset=UTF-8’; const EXCEL_EXTENSION = … Read more